Snowflake / Databricks Developer For a Product Development Project

Banking Application - Data Migration / Snowflake / Databricks Developer

• Notice Period:

  Immediate Joiners Please apply.

• We are looking for candidates who can join in 15 - 30 Days.

• Work Location: Chennai (Ramanujam IT Park Tharamani).

• Work Type: No Hybrid -

  Work from Office is Mandatory - Monday to Friday: 9:00 AM to 6:00 PM.

• Notice Period: Immediate Joiners / 1 Month Notice Candidates
• Work Location:

  Chennai

• Work Type:

  Work

  From

  Office is Mandatory

• Intermediate Level Minimum Experience: 5+ years

• Bachelors degree in computer science or equivalent practical experience.

Technical Skills:

• Knowledge of SQL language and cloud-based technologies

• Data

  warehousingconcepts,

  data

  modelling, metadata

  management

• Data lakes, multi-dimensional models, data dictionaries
• Migration to

  AWS or Azure Snowflake platform

• Performance tuning and setting up resource monitors.
• Snowflake modeling

  roles,

  databases, schemas

• SQL performance measuring, query tuning, and

  database tuning

• ETL toolswith cloud-driven skills
• Integration with third-party tools
• Ability to build analytical solutions and models.
• Coding in languages like Python, Java,JavaScript.
• Root cause analysis of models with solutions
• Hadoop, Spark, and other warehousing tools
• Managing sets of XML, JSON, and CSV from disparate sources

• SQL-based

  databases like Oracle SQL Server, Teradata, etc.

• Snowflake warehousing, architecture, processing, administration

• Data ingestion into Snowflake
• Enterprise-level technical exposure to Snowflake applications

Roles & Responsibilities

• Create, test, and implement enterprise-level apps with Snowflake.
• Design and implement features for identity and access management.
• Create authorization frameworks for better access control.
• Implement novel query optimization, major security competencies with encryption.
• Solve performance issues and scalability issues in the system.
• Transaction management with distributed data processing algorithms
• Possess ownership right from start to finish.
• Build, monitor, and optimize ETLand ELT processes with data models.
• Migrate solutions from on-premises setup to cloud-based platforms.
• Understand and implement the latest delivery approaches based on data architecture.
• Project documentation and tracking based on understanding user requirements.
• Perform data integration with third-party tools including architecting, designing, coding, and testing phases.
• Manage documentation of data models, architecture, and maintenance processes
• Continually review and audit data models for enhancement.
• Maintenance of ideal data pipeline based on ETL tools.
• Coordination with BI experts and analysts for customized data models and integration
• Code updates, new code development, and reverse engineering
• Performance tuning, user acceptance training, application support
• Maintain confidentiality of data
• Risk assessment, management, and mitigation plans
• Regular engagement with teams for status reporting and routine activities
• Migration activities from one database to another or on-premises to cloud